Praktische Analytics-Texte für Leute, die die Daten nutzen.
Guides, Diagnosen und Frameworks für Google Analytics 4, Search Console, Bing Webmaster, SEO, Conversion-Rate-Optimization und KI-gestützte Analytics. Geschrieben für Marketer und Analysten, die Antworten brauchen, kein Füllmaterial.
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Google Analytics 4
GA4 isn't just an analytics upgrade — it's a different way of thinking about user data. This guide explains the event model, conversion tracking, Explorations, attribution, and what GA4's AI features actually do.
26 ArtikelGoogle Search Console
Google Search Console is more powerful than most people realize. This guide shows which report answers which real question — from indexing to Core Web Vitals to keyword opportunities.
20 ArtikelBing Webmaster Tools
Bing has more market share than most SEOs admit, and Bing Webmaster Tools has features GSC doesn't. Here's why it belongs in your analytics stack and how to use it.
15 ArtikelSEO Analytics
Most teams measure SEO with rankings alone. This guide introduces a three-layer measurement framework — visibility, engagement, business impact — that connects your SEO work to real outcomes.
20 ArtikelHow to Analyze Website Traffic (Without Getting Fooled by Your Own Data)
Traffic numbers without context are dangerous. This guide shows you how to read website analytics correctly — spotting data quality issues, investigating spikes and drops, and focusing on metrics that actually connect to business outcomes.
21 ArtikelAI-Powered Analytics
AI analytics agents are genuinely useful — but not for everything. This guide cuts through the hype and explains what AI actually changes in the analytics workflow, where it falls short, and how to evaluate tools like Emilytics.
20 ArtikelSaaS Metrics That Actually Matter
Most SaaS founders track too many metrics and act on none. This guide introduces a metrics hierarchy — from north star to leading indicators to diagnostic metrics — with real benchmarks for MRR growth, churn, NRR, and CAC payback.
21 ArtikelContent Marketing Analytics
Most teams measure content at the wrong time. Organic traffic takes 3-6 months to compound — this guide shows what to measure at each stage of the content lifecycle, from planning through long-term ROI.
20 ArtikelCRO Analytics
Most CRO fails because teams test before diagnosing. This guide walks through a data-first approach — finding where and why users drop off using GA4, forming testable hypotheses, and running tests that actually answer the right question.
21 ArtikelAnalytics Reporting That Gets Read (and Actually Changes Decisions)
Most analytics reports fail because they're built for the person who made them, not the person who needs to act on them. This guide shows how to structure reports for executives, marketing teams, and product teams — and how to write the narrative layer that drives action.
20 Artikel